A threshold regression mixture model for assessing treatment efficacy in a multiple myeloma clinical trial

Journal of Biopharmaceutical Statistics

Volumn 18, Issue 6, 2008, Pages 1136-1149

  Lee, Mei Ling Ting ^a   Chang, Mark ^b   Whitmore, G A ^c  

^a UNIVERSITY OF MARYLAND   (United States)

^b MILLENNIUM PHARMACEUTICALS INC   (United States)

^c MCGILL UNIVERSITY   (Canada)

Author keywords

Analysis time; Composite time; Cox regression; Data analysis; Disease progression; Duration; First hitting time; Lifetime; Maximum likelihood; Mixture model; Multiple myeloma; Proportional hazards; Randomized clinical trial; Stochastic process; Stopping time

Indexed keywords

BORTEZOMIB; DEXAMETHASONE;

ARTICLE; CANCER SURVIVAL; CLINICAL TRIAL; DRUG EFFICACY; DRUG MEGADOSE; DRUG RESPONSE; HEALTH STATUS; HUMAN; MULTIPLE MYELOMA; PRIORITY JOURNAL; REGRESSION ANALYSIS; STATISTICAL MODEL;

ANTINEOPLASTIC AGENTS; BORONIC ACIDS; DATA INTERPRETATION, STATISTICAL; DEXAMETHASONE; HEALTH STATUS INDICATORS; HUMANS; LIKELIHOOD FUNCTIONS; MULTIPLE MYELOMA; PROPORTIONAL HAZARDS MODELS; PYRAZINES; RANDOMIZED CONTROLLED TRIALS AS TOPIC; RISK ASSESSMENT; STOCHASTIC PROCESSES; TIME FACTORS; TREATMENT OUTCOME;

EID: 57349099235     PISSN: 10543406     EISSN: 15205711     Source Type: Journal    
DOI: 10.1080/10543400802398524     Document Type: Article

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